AI Creative Designer

📍 Job Overview

Job Title: AI Creative Designer

Company: Qeads

Location: France

Job Type: Full-Time

Category: Creative Operations / Marketing Operations

Date Posted: April 1, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead the high-volume creation of performant static advertisements for Meta Ads, driving continuous lead generation.

• Rapidly iterate and produce variations of top-performing creative assets, focusing on visual hooks, layouts, and integrated text.

• Maintain a consistently high standard of quality and relevance across extensive production volumes, leveraging AI tools for efficiency.

• Translate strategic feedback into compelling visual concepts and executions, demonstrating a keen understanding of direct response marketing principles.

• Actively engage with and master emerging AI design tools and workflows to optimize production speed and effectiveness.

📝 Enhancement Note: This role is positioned within the 'Creative Operations' or 'Marketing Operations' domain, emphasizing the strategic application of design skills for performance marketing rather than traditional graphic design. The focus on AI, high volume, and direct response metrics indicates a need for a candidate who understands the intricate relationship between creative execution and measurable business outcomes.

📈 Primary Responsibilities

• Generate thousands of high-performing static creatives for Meta Ads daily, ensuring continuous output for multiple business verticals.

• Rapidly decline and iterate on successful creative concepts identified by the creative strategy team, producing multiple variations.

• Develop diverse visual elements including hook imagery, layout compositions, format adaptations, and integrated textual calls-to-action.

• Uphold consistent quality standards and brand relevance even when managing substantial production volumes.

• Interpret and action strategic feedback, identifying the visual drivers of performance and replicating them in new creative executions.

• Apply direct response marketing principles, including visual hierarchy, readability, urgency, and social proof, to all creative outputs.

• Leverage AI tools, including advanced prompting, image generation, and design software, as primary levers for speed and volume.

• Conduct ongoing research and stay abreast of new AI tools and workflows applicable to visual design and creative production.

📝 Enhancement Note: The responsibilities highlight a critical need for process efficiency and scalability, which are core tenets of operations roles. The emphasis on "volume, in continuously" and "iterate rapidly" points to a need for workflow optimization and a structured approach to creative production.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating relevant skills and experience is paramount. A background in Graphic Design, Digital Marketing, or a related field is beneficial.

Experience: Minimum of 2-5 years of experience in graphic design, with a significant focus on creating static advertisements specifically for paid social media platforms, particularly Meta Ads.

Required Skills:

• Proficient in graphic design principles: composition, typography, color theory, and visual hierarchy.

• Proven experience creating static creatives for paid social media advertising (Meta Ads specifically), not for print or corporate branding.

• Mandatory mastery of AI prompting techniques and leading AI visual creation tools (e.g., Midjourney, Stable Diffusion, DALL-E 2/3, Adobe Firefly).

• Proficiency with design software such as Canva, Adobe Photoshop, or equivalent.

• Demonstrated ability to distinguish between aesthetically pleasing design and effective performance-driven creative, with the capacity to articulate the rationale.

• Familiarity with direct response creative concepts (e.g., before/after, testimonials, UGC-style, listicles, comparisons).

• Ability to maintain a high production pace without compromising quality.

• Skill in integrating strategic feedback and translating it into relevant creative variations.

Preferred Skills:

• Experience with AI-powered design automation tools and workflows.

• Familiarity with A/B testing creative elements and interpreting performance data.

• Understanding of user experience (UX) principles as they apply to ad creative.

• Basic video editing skills for short-form ad snippets.

📝 Enhancement Note: The explicit requirement for AI prompting and visual creation tool mastery, coupled with a focus on performance over aesthetics, strongly indicates this role is an operations-centric creative position. The experience level of 2-5 years aligns with a mid-level role capable of independent contribution and process adherence.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 10-15 distinct static ad creative examples designed specifically for Meta Ads, highlighting their performance where possible (e.g., engagement rates, conversion metrics).

• Include case studies that demonstrate rapid iteration and variation of a single creative concept or successful campaign.

• Provide examples of how AI tools were leveraged in the creation process, detailing the prompting strategies used.

• Demonstrate an understanding of direct response design principles through the selected portfolio pieces.

Process Documentation:

• Candidates may be asked to describe their personal workflow for creating a high volume of static ads within a set timeframe.

• Be prepared to articulate how they would document and optimize their creative production process using AI tools.

• Demonstrate an understanding of how to track and measure the performance of their creative assets and how this data informs future iterations.

📝 Enhancement Note: For operations roles, a portfolio is not just a showcase of work but a demonstration of process, efficiency, and measurable impact. The emphasis here is on volume, speed, and the strategic application of AI, aligning with operational excellence.

💵 Compensation & Benefits

Salary Range: €22,600 - €30,000 per year.

Explanation: This range is based on the provided salary data for this role in France. For a mid-level AI Creative Designer with a focus on high-volume, performance-driven creative production and full remote work, this compensation is competitive within the French market, considering the specified experience level and the company's emphasis on AI tools and efficiency.

Benefits:

• Full Remote Work: Complete freedom to work from any location, offering maximum flexibility.

• No Micro-Management: Emphasis on results and quality, fostering autonomy and trust.

• Access to Latest AI Tools: Opportunity to work with cutting-edge AI technologies for creative generation and optimization.

• Opportunity for Growth and Responsibilities: As the team is in its early stages of structuring, there is significant potential to expand your role and take on more responsibilities.

• Direct Collaboration with Creative Strategy: Close partnership with the creative strategy team, ensuring clear understanding of objectives and impact.

• Long-Term Project: Involvement in a stable, ongoing project with a clear mission.

Working Hours: Approximately 40 hours per week, with flexibility in scheduling due to the full remote nature of the role. The focus is on output and results rather than strict adherence to office hours.

📝 Enhancement Note: The benefits package emphasizes flexibility and autonomy, common in remote-first tech companies. The salary range is typical for a junior to mid-level creative role in France, with the remote aspect potentially allowing for broader talent acquisition. The note about team structuring suggests significant growth potential for early hires.

🎯 Team & Company Context

🏢 Company Culture

Industry: Lead generation and performance marketing, with a strong focus on AI-driven solutions. The company operates as a "machine" designed for continuous, high-volume lead generation across various industry verticals.

Company Size: The company is in a growth phase, with a team that is actively being structured. This implies a dynamic, evolving environment where early employees can significantly shape processes and culture.

Founded: While the founding date is not specified, the description suggests Qeads is an established operation, not a nascent startup testing the waters. They emphasize their existing "machine" that is already generating thousands of leads weekly.

Team Structure:

• The operations team is in the process of being structured, indicating an opportunity for individuals to influence and define team workflows and processes.

• The AI Creative Designer will work in close partnership with the "strat créa" (creative strategy) team, suggesting a collaborative loop where strategy informs creative, and creative performance informs strategy.

Methodology:

• Data-Driven Performance: The core of Qeads' operation is performance. All creative efforts are geared towards measurable results – generating leads efficiently and at scale.

• AI-Leveraged Workflows: The company heavily relies on AI for production, speed, and volume. This means a continuous integration of new AI tools and techniques into daily operations.

• Iterative Optimization: The constant generation and testing of creatives, coupled with a feedback loop from strategy, points to a culture of continuous improvement and rapid iteration.

Company Website: https://leadspower.fr

📝 Enhancement Note: The company culture appears to be highly performance-oriented, fast-paced, and technologically driven, with a significant emphasis on AI and automation. The "machine" metaphor suggests a focus on efficiency, scalability, and predictable outcomes.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as Mid-Level, typically requiring 2-5 years of specialized experience. It's a hands-on, execution-focused position within the broader operations framework of the company. The emphasis is on producing results through efficient processes and creative application of tools.

Reporting Structure: The AI Creative Designer will report directly to a Creative Strategy lead or a Head of Operations, working in close tandem with the creative strategy function. While there is "0 micro-management," there will be clear performance metrics and strategic direction provided.

Operations Impact: The AI Creative Designer is pivotal to Qeads' core business model. Their ability to produce high-performing creatives directly impacts the volume and quality of leads generated, which is the company's primary output and revenue driver. This role is crucial for scaling the lead generation "machine."

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in AI prompting, generative art, and AI-driven design workflows, becoming a subject matter expert.

• Process Optimization Leadership: As the team structures, there's potential to take ownership of creative production processes, define best practices, and implement new tools or workflows.

• Increased Responsibility: Opportunity to manage larger creative portfolios, mentor junior designers (as the team grows), or contribute to broader marketing strategy discussions based on creative performance insights.

• Cross-Functional Exposure: Gain insights into lead generation strategy, performance marketing analytics, and the technical aspects of AI tools.

📝 Enhancement Note: The growth potential is framed around deepening operational skill sets within AI and creative production, rather than traditional career ladders. The emphasis is on evolving with the technology and contributing to the scaling of the core business operations.

🌐 Work Environment

Office Type: Fully remote (TELECOMMUTE). This means there is no physical office required for this role. The work is conducted entirely online.

Office Location(s): While the company is based in France, the role is fully remote, meaning the employee can work from anywhere within France (and potentially beyond, though company operations may be tied to French time zones and regulations). The company is listed as having locations in France.

Workspace Context:

• Autonomous Workspace: Employees are expected to manage their own work environment, ensuring they have the necessary tools and stable internet connection for remote work.

• Digital Collaboration: All collaboration, feedback, and communication will occur through digital channels, likely involving project management tools, communication platforms (like Slack or Teams), and cloud-based design tools.

• Focus on Output: The environment is geared towards high output and efficiency, with minimal emphasis on traditional office dynamics.

Work Schedule: Flexible, with an estimated 40 hours per week. The "0 micro-management" policy suggests that while the workload is substantial, the employee has autonomy over how and when they structure their workday, provided deadlines and performance targets are met.

📝 Enhancement Note: The "Full Remote" and "No Micro-Management" benefits strongly suggest a modern, trust-based work environment focused on asynchronous collaboration and results. Candidates should be comfortable with self-management and digital communication tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application Review: Focus on CV and portfolio strength, specifically looking for AI tool proficiency and high-volume paid social creative examples.

• Skills Assessment / Portfolio Walkthrough: A discussion where candidates present their portfolio, explain their design process, highlight their AI tool usage, and articulate the performance rationale behind their creative choices. Expect questions about their approach to rapid iteration and volume production.

• Practical Exercise/Challenge: Potentially a short, timed exercise where candidates must generate a set of creative variations based on a brief, or a prompt engineering challenge.

• Team/Strategy Fit Interview: A conversation with the creative strategy team or hiring manager to assess cultural fit, understanding of direct response marketing, and ability to integrate feedback.

Portfolio Review Tips:

• Curate for Impact: Select only your strongest, most relevant work. Prioritize Meta Ads static creatives that demonstrate performance and high-volume capability.

• Showcase AI Proficiency: Clearly label or describe how AI tools were used in each relevant piece. Detail your prompting strategies and the outcomes achieved.

• Quantify Results: If possible, include metrics (e.g., CTR, conversion rates, engagement) for your creatives. Even anecdotal evidence of performance is valuable.

• Explain Your Process: Be ready to walk through your workflow for creating multiple variations quickly. Highlight your efficiency techniques.

• Demonstrate Strategic Understanding: Articulate why your creatives are effective, referencing direct response principles and the company's goal of lead generation.

Challenge Preparation:

• Master Prompting: Practice generating diverse and effective ad creatives using various AI tools. Learn to refine prompts for specific visual styles, hooks, and messages.

• Understand Direct Response: Refresh your knowledge of direct response marketing principles and common creative formats used in paid social.

• Time Management: Practice creating multiple ad variations under tight deadlines.

• Articulate Strategy: Be ready to explain the strategic thinking behind your creative decisions, even for hypothetical scenarios.

📝 Enhancement Note: The application process emphasizes practical skills, demonstrable results, and a strategic understanding of performance marketing through AI. The portfolio is a critical component, serving as proof of capability in a results-driven environment.

🛠 Tools & Technology Stack

Primary Tools:

• Canva: For rapid design creation and template utilization.

• Adobe Photoshop (or equivalent): For more advanced image editing, manipulation, and compositing.

• AI Visual Creation Tools: Mandatory proficiency in tools like Midjourney, Stable Diffusion, DALL-E 3, Adobe Firefly, or similar for generating base imagery, textures, and design elements.

• Prompt Engineering: A core skill in leveraging AI tools effectively.

Analytics & Reporting:

• While not directly responsible for reporting, an understanding of how to interpret performance data from Meta Ads Manager (or similar platforms) is crucial for creative iteration and optimization.

CRM & Automation:

• Not directly specified, but an understanding of how creatives feed into lead generation funnels and CRM systems (e.g., Salesforce, HubSpot) would be beneficial for understanding the broader impact.

• Potential exposure to automation tools for workflow management or asset deployment.

📝 Enhancement Note: The technology stack is heavily focused on AI-powered design tools and standard graphic design software, reflecting the role's core function. The emphasis is on tools that enable speed, volume, and creative output.

👥 Team Culture & Values

Operations Values:

• Performance-Driven: Success is measured by tangible results – the number and quality of leads generated. Every creative effort must contribute to this goal.

• Efficiency & Speed: With "0 micro-management" and a "machine" approach, there's a strong emphasis on working quickly and effectively. AI is a key enabler of this.

• Innovation & Adaptability: The rapid evolution of AI tools necessitates a culture of continuous learning and adaptation to stay at the forefront of creative production.

• Autonomy & Ownership: Employees are trusted to manage their workload and contribute proactively, taking ownership of their creative output.

• Collaboration: While autonomous, close collaboration with the creative strategy team is essential for aligning creative efforts with business objectives.

Collaboration Style:

• Results-Oriented Communication: Interactions are focused on achieving specific performance outcomes and optimizing creative strategies.

• Data-Informed Feedback: Discussions are likely to be grounded in performance data and strategic objectives.

• Proactive Contribution: Employees are encouraged to bring ideas, suggest improvements, and take initiative rather than passively waiting for direction.

• Digital-First: All collaboration happens through digital platforms, requiring clear, concise communication.

📝 Enhancement Note: The company culture values output, efficiency, and technological adoption, particularly AI. It's a results-driven environment that rewards initiative and the ability to adapt to rapidly changing tools and strategies.

⚡ Challenges & Growth Opportunities

Challenges:

• Maintaining Quality at Scale: The primary challenge will be consistently producing high-quality, effective creatives at an extremely high volume without burnout or creative fatigue.

• Rapid AI Tool Evolution: Staying current with the constantly changing landscape of AI design tools and effectively integrating new capabilities into workflows.

• Balancing Speed and Strategy: Ensuring that the drive for speed and volume doesn't compromise the strategic effectiveness or relevance of the creative assets.

• Adapting to Performance Feedback: Effectively translating performance data and strategic feedback into actionable creative adjustments, sometimes rapidly.

Learning & Development Opportunities:

• Mastery of Generative AI: Becoming an expert in AI prompting and leveraging a wide array of AI tools for creative design and automation.

• Performance Marketing Design: Deepening expertise in direct response advertising and understanding the nuances of what drives engagement and conversions on platforms like Meta Ads.

• Workflow Optimization: Learning to design, document, and optimize high-throughput creative production processes.

• Strategic Creative Input: Developing the ability to contribute more strategically to creative concepts based on performance insights.

• Team Growth Contribution: As the team structures, there's a chance to influence operational processes and best practices.

📝 Enhancement Note: The challenges are inherent to a high-growth, AI-driven, performance-focused operation. The growth opportunities are directly tied to mastering the tools and processes that enable this operational model.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for generating 100 unique static ad variations for a single campaign within a week. How would AI be integrated?" (Focus on process, speed, AI utilization)

• "How do you balance the need for rapid creative iteration with maintaining strategic alignment and brand consistency?" (Focus on strategic thinking, feedback integration)

Company & Culture Questions:

• "What are your thoughts on a 'machine' approach to lead generation? How does your creative philosophy align with this?" (Focus on understanding company mission, operational mindset)

• "How do you approach receiving and implementing strategic feedback on your creative work?" (Focus on collaboration, adaptability, professional maturity)

Portfolio Presentation Strategy:

• Storytelling with Data: For each portfolio piece, tell a brief story: the objective, your creative solution (highlighting AI use), and the outcome (performance metrics if available).

• Demonstrate Volume and Iteration: Show examples of how you created multiple variations of a successful ad, explaining the rationale behind each change.

• Highlight AI Prompting Skills: Be prepared to discuss your prompting techniques, the challenges you faced in generating specific visuals, and how you refined your prompts.

• Focus on "Why": For each creative, articulate why it is designed to perform, not just how it looks. Connect visual elements to direct response principles.

• Be Concise and Energetic: Respect the interviewer's time and convey enthusiasm for the role and the company's mission.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of technical AI proficiency, creative execution skills, strategic understanding of performance marketing, and an operational mindset geared towards efficiency and volume.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided form on Join.com.

• Portfolio Customization: Tailor your portfolio to prominently feature Meta Ads static creatives and explicitly showcase your proficiency with AI visual creation tools and prompting techniques. Highlight examples of high-volume production or rapid iteration.

• Resume Optimization: Ensure your resume clearly outlines your experience with AI tools, paid social advertising (specifically Meta Ads), and any quantifiable achievements related to creative performance or production efficiency. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, AI tool usage, and strategic understanding of direct response marketing. Prepare to present your portfolio and discuss case studies demonstrating your ability to produce effective creatives at scale.

• Company Research: Familiarize yourself with Qeads' mission and their "machine" approach to lead generation. Understand their reliance on AI and performance marketing to tailor your responses and demonstrate alignment with their operational culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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